nk 1.0.0
C++ Numerical Computing Runtime
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nakagami.hpp
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1
3// toolboxes/stats/include/nk/stats/distributions/nakagami.hpp
4//
5// Nakagami distribution.
6
7#pragma once
8
9#include <memory_resource>
10#include <nk/value/value.hpp>
11
12#include <tuple>
13
14namespace nk {
15
18 namespace ops { class RngContext; } }
19
20namespace nk::stats {
21
34Value nakapdf(const Value &x, double mu, double omega,
35 std::pmr::memory_resource *mr = nullptr);
36
48Value nakacdf(const Value &x, double mu, double omega,
49 std::pmr::memory_resource *mr = nullptr);
50
59Value nakainv(const Value &p, double mu, double omega,
60 std::pmr::memory_resource *mr = nullptr);
61
73Value nakarnd(::nk::ops::RngContext &rng, double mu, double omega, size_t rows = 1, size_t cols = 1,
74 std::pmr::memory_resource *mr = nullptr);
75
86std::tuple<double, double> nakastat(double mu, double omega);
87
88
90} // namespace nk::stats
Core MATLAB-compatible multidimensional array and scalar value type.
Definition value.hpp:61
Value nakainv(const Value &p, double mu, double omega, std::pmr::memory_resource *mr=nullptr)
Nakagami inverse cdf (x = nakainv(p, mu, omega)).
Value nakacdf(const Value &x, double mu, double omega, std::pmr::memory_resource *mr=nullptr)
Nakagami cdf (p = nakacdf(x, mu, omega)).
Value nakapdf(const Value &x, double mu, double omega, std::pmr::memory_resource *mr=nullptr)
Nakagami pdf (y = nakapdf(x, mu, omega)).
std::tuple< double, double > nakastat(double mu, double omega)
Nakagami mean and variance ([m, v] = nakastat(mu, omega)).
Value nakarnd(::nk::ops::RngContext &rng, double mu, double omega, size_t rows=1, size_t cols=1, std::pmr::memory_resource *mr=nullptr)
Nakagami random samples (r = nakarnd(mu, omega, rows, cols)).